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Record W4252196706 · doi:10.1002/cjce.22372

Retraction: ‘Cloud point behaviour modelling of polyoxyethylene nonionic surfactants’ by Malek Bendjaballah and Hacina Said

2015· article· en· W4252196706 on OpenAlexvenueno aff
Nasibeh Hajilary, Mohsen Vafaie Sefti, Ali Shahmohammadi, Ahmad Dadvand Koohi, Amin Mohajeri

Bibliographic record

VenueThe Canadian Journal of Chemical Engineering · 2015
Typearticle
Languageen
FieldChemistry
TopicSurfactants and Colloidal Systems
Canadian institutionsnot available
Fundersnot available
KeywordsCitationCloud pointPoint (geometry)Library scienceComputer scienceChemistryOrganic chemistryMathematics

Abstract

fetched live from OpenAlex

The above article, published as an accepted article online on November 23, 2013 in Wiley Online Library ( wileyonlinelibrary.com ), has been retracted by agreement between the journal's Editor‐in‐Chief, João B. P. Soares, and Wiley Periodicals, Inc. The retraction has been agreed due to unattributed use of content from ‘Prediction du Point de Trouble des Alcools Polyethoxyl 2,’ a PhD thesis chapter authored by Professor Boumediene Haddou. REFERENCE [1] Malek Bendjaballah, Hacina Saidi, “Cloud point behaviour modelling of polyoxyethylene nonionic surfactants,” Can. J. Chem. Eng . 2014 , 92 , 288–295. DOI: 10.1002/cjce.21943

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.047
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesResearch integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: Editorial
Teacher disagreement score0.992
Threshold uncertainty score0.034

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.047
Meta-epidemiology (narrow)0.0030.001
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0020.002
Science and technology studies0.0020.003
Scholarly communication0.0030.004
Open science0.0050.003
Research integrity0.0080.009
Insufficient payload (model declined to judge)0.0080.008

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.018
GPT teacher head0.188
Teacher spread0.170 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

Study designNot applicable
Domainnot available
GenreEditorial

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2015
Admission routes1
Has abstractyes

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